OMisy:一个面向股吧数据的观点挖掘系统被引量：1

OMisy:An Opinion Mining System for Stocks BBS

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摘要市场情绪对股票走势具有重要影响,了解市场情绪有助于更准确地判断股票走势.股票网络论坛(简称股吧)作为一种信息载体和传播途径,相比其他传播载体更具针对性和实时性,为研究投资者情绪倾向提供了丰富的数据来源.设计并实现了一个面向股吧数据的观点挖掘系统,提供股吧数据获取、情绪倾向分析、热度分析、结果可视化和数据处理等功能.为用户对市场情绪掌握和股票趋势分析提供有力支持. Investor sentiment has a significant impact on stock trend,which helps predict the stock trends if understanding investor sentiment.Compared to other communication media,Stocks bulletin board system(SBBS)is more targeted and timely,which provides rich source to research investor sentiment.In order to help users discover information from SBBS,we design and achieved an opinion mining system.This system provides five parts:data acquisition,sentiment analysis,trend analysis,results visualization and data processing.It provides strong support to analyze investor sentiment and stock trend.

作者张一舟曾剑平孙婧熊赟

机构地区复旦大学计算机科学技术学院上海市数据科学重点实验室(复旦大学)

出处《计算机研究与发展》 EI CSCD 北大核心 2015年第S1期123-128,共6页 Journal of Computer Research and Development

基金国家自然科学基金项目(61170096 71331005) 上海市科技发展基金项目(13DZ2260200 13511504300) 教育部人文社会科学研究规划基金项目(13YJAZH019)

关键词情感分析观点挖掘数据挖掘投资者情绪股票走势 sentiment analysis opinion mining data mining investor sentiment stock trend

分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]

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参考文献5

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